Time Series Analysis - Step by Step | Steps to implement time series forecasting

Time Series Analysis - Step by Step | Steps to implement time series forecasting
#TimeSeriesAnalysisStepbyStep #UnfoldDataScience
Hello All,
My name is Aman and I am a data scientist.

About this video:
In this video, I demonstrate the stepwise process of implementing time series analysis. I explain the various steps involved in time series forecasting. I explain data import and cleaning technique for time series data. I also explain the stationarity check, model training and tuning for time series model. Below points are explained in this video.
1. Time Series Analysis in Python
2. Steps for time series analysis
3. Time series forecasting step by step
4. Time series forecasting python
5. Time series analysis and forecasting step by step

About Unfold Data science: This channel is to help people understand basics of data science through simple examples in easy way. Anybody without having prior knowledge of computer programming or statistics or machine learning and artificial intelligence can get an understanding of data science at high level through this channel. The videos uploaded will not be very technical in nature and hence it can be easily grasped by viewers from different background as well.

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[krutikarewale]

So nicely explained, I was getting all the examples with non-stationary models thanks a lot for sharing this example.

[VishalKumar.S-gf]

sir, nice series, pls also teach SARIMA models

[meghapuchu]

Nicely explained. Can you please put this in the time series playlist and arrange it accordingly

[sixersrinath]

Sir do u teach data science in online platform? Impressed by your teaching

[mubasshirshah]

Heart rate prediction
Sudden variations in heart rate could lead to the risks of stroke, heart failure, sudden cardiac arrest,
and also death. Therefore, monitoring the heart rate is critical as it helps to discover the irregularities
of the heart’s function to detect health problems. With the advancements in AI and stream processing
technologies, more accurate future predictions also can be made, allowing healthcare sectors to
detect and treat such situations at early stages.
In this task, you are given a time series collected using medical sensors, approximately four hours of
data for a patient. Using these data, you need to build an effective time series model to predict the
next twenty (20) observations (minutes) of heart rate data (Lifetouch Heart Rate). How to go about this problem?

[God-s-child-]

Whole world's true well wisher the supreme godfather bless you all always and you all remember him always

[chirumadderla]

Sir can you please make a video on solar power forecasting using any one of the machine learning model

[sangeetabishnoi]

Thank You so much for such nice videos, in my dataset, if my dates are in different formats, for example some are like 19/05/2005 and other is 10-05-2005, how do i bring them to a uniform format?

[harshavardhanachyuta]

Can you please suggest some models for multivariate time series like VAR
My use case is to predict the weather parameters like temp, humidity, pressure, etc.

[murphyslaw]

Can you provide some intermediate and advanced questions with Python code to practice and future reference ?

[divyad]

Hi Sir, as part of this video, while fitting the ARMA model and running the code- am getting this exception
MemoryError: Unable to allocate 1.19 GiB for an array with shape (12624, 12624) and data type float64
did some research and found that it is due to high cardinality of the feature. can you please help me to resolve this?

[AravindJayalakshmiStalinBabu]

Hello Sir, I am getting a value error that frequency is not given and by default MS (Month Start) frequency will be taken. If continued with this, I am getting error more than before. Error : "ValueWarning: No frequency information was provided, so inferred frequency MS will be used"

[pewerup]

can you demonstrate a model with non stationary data

[dhrudeepthakkar]

The google drive folder doesn't contain the data set used for this video, can you please add it?

[karthik]

hello sir..Will data science jobs been disappeared when all replaced by automation..like automated ML model..please clarify my doubt

[commoncats]

NotImplementedError:
and have been removed in favor of (note the . between arima and model) and statsmodels.tsa.SARIMAX.

makes use of the statespace framework and is both well tested and maintained. It also offers alternative specialized parameter estimators.

I was very confused with it please help me sir

[anshulchaurasia]

At 4:54, P-value is very less then 5%.
My question is 5% of what,
1. P-value is less then ADF value, if yes the how come ADF is a negative value. (Are we ignoring the sign)
2. or P-value is less then

[vignesh]

Can you please share the code for us to practice